A hierarchical spatio-temporal object knowledge graph model for dynamic scene representation
文献类型：期刊论文
| 作者 | Zhao, Xinke1; Cao, Yibing1,4; Wang, Jiahe2,3; Fan, Xinhua1; Chen, Minjie1 |
| 刊名 | TRANSACTIONS IN GIS
 |
| 出版日期 | 2023-10-03 |
| 页码 | 25 |
| ISSN号 | 1361-1682 |
| DOI | 10.1111/tgis.13109 |
| 通讯作者 | Cao, Yibing(cao_yibing@126.com) |
| 英文摘要 | Spatio-temporal knowledge is essential in understanding the dynamic aspects of complex scenes. However, existing knowledge graphs have limitations, such as inadequate time description, inflexible expression of semantic relationships, and difficulties in accessing GIS platforms. The article proposes the spatio-temporal object knowledge graph (STOKG), consisting of the object concept layer, spatio-temporal object layer, and dynamic version layer. To demonstrate the practical usefulness of the STOKG model, the Henan epidemic knowledge graph is created using epidemiological data from early 2020, which shows the dynamic evolution of the spatio-temporal objects of cases from the geography and semantic perspectives. Finally, the STOKG model is compared with the existing models in terms of accuracy, completeness and repetitiveness. The experimental results show that the STOKG model provides a more flexible and comprehensive approach to representing spatio-temporal knowledge, which is useful for applications in fields such as geography, epidemiology, and environmental science. |
| 资助项目 | This research was funded by the National Key Research and Development Program of China (grant number 2021YFB3900900).[2021YFB3900900] ; National Key Research and Development Program of China |
| WOS研究方向 | Geography |
| 语种 | 英语 |
| 出版者 | WILEY |
| WOS记录号 | WOS:001076651800001 |
| 资助机构 | This research was funded by the National Key Research and Development Program of China (grant number 2021YFB3900900). ; National Key Research and Development Program of China |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/198413]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Cao, Yibing |
| 作者单位 | 1.Informat Engn Univ, Inst Geospatial Informat, Zhengzhou, Peoples R China 2.Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Inst Geog Sci & Nat Resources Res, Beijing, Peoples R China 3.Univ Chinese Acad Sci, Beijing, Peoples R China 4.Informat Engn Univ, Inst Geog Space Informat, Zhengzhou 450052, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zhao, Xinke,Cao, Yibing,Wang, Jiahe,et al. A hierarchical spatio-temporal object knowledge graph model for dynamic scene representation[J]. TRANSACTIONS IN GIS,2023:25. |
| APA | Zhao, Xinke,Cao, Yibing,Wang, Jiahe,Fan, Xinhua,&Chen, Minjie.(2023).A hierarchical spatio-temporal object knowledge graph model for dynamic scene representation.TRANSACTIONS IN GIS,25. |
| MLA | Zhao, Xinke,et al."A hierarchical spatio-temporal object knowledge graph model for dynamic scene representation".TRANSACTIONS IN GIS (2023):25. |
入库方式： OAI收割
来源：地理科学与资源研究所
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